This project demonstrates a simple linear regression model for predicting life satisfaction based on GDP per capita.

• Python 3.6 or higher
• Jupyter Notebook
• NumPy
• Pandas
• Matplotlib
• Scikit-learn

1. Clone this repository.
2. Install the required packages using pip: pip install -r requirements.txt.
3. Launch Jupyter Notebook and open life_satisfaction_prediction.ipynb file.

1. Open life_satisfaction_prediction.ipynb file in Jupyter Notebook.
2. Run each cell of the notebook to execute the code.
3. Modify the input value new_X to predict a new life satisfaction value based on a new GDP per capita value.

• OECD Better Life Index
• IMF Economic Outlook Database, October 2015